Single-channel sound source distance estimation based on statistical and source-specific features

Eleftheria Georganti, Tobias May, S.L.J.D.E van de Par, A Härmä, J. Mourjopoulos

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this paper we study the problem of estimating the distance of a sound source from a single microphone recording in a room environment. The room effect cannot be separated from the problem without making assumptions about the properties of the source signal. Therefore, it is necessary to develop methods of distance estimation separately for different types of source signals. In this paper, we focus on speech signals. The proposed solution is to compute a number of statistical and source specific features from the speech signal and to use pattern recognition techniques to develop a robust distance estimator for speech signals. Experiments with a database of real speech recordings showed that the proposed model is capable of estimating source distance with acceptable performance for applications such as ambient telephony.
Original languageEnglish
Title of host publicationProceedings of the 126th AES convention
Number of pages12
Publication date2009
ISBN (Print)9781615671663
Publication statusPublished - 2009
Externally publishedYes
Event126th AES convention: make the right connections - München, Germany
Duration: 7 May 200910 May 2009

Conference

Conference126th AES convention
CountryGermany
CityMünchen
Period07/05/200910/05/2009

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